Mistralified: Barycentric based embedding swap applied with token surgery + config change. Uses Captain_BMO as the donor model ~ [no additional training]
"Where it roams, comprehension falters and the air thickens with the maddening pulse of algorithms far too vast. Eyes it does not possess; for its sight is a network of intent, wrapping the unseen in their grasp."
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Nitral-AI/Captain_Eris_Noctis-12B-alt-v0.420
layer_range: [0, 40]
- model: LatitudeGames/Wayfarer-12B
layer_range: [0, 40]
merge_method: slerp
base_model: Nitral-AI/Captain_Eris_Noctis-12B-alt-v0.420
parameters:
t:
- filter: self_attn
value: [0, 0.4, 0.2, 0.6, 0.9]
- filter: mlp
value: [1, 0.6, 0.8, 0.4, 0.1]
- value: 0.4206911
dtype: bfloat16
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